Package: base.rms 1.0

Jing Zhang

base.rms: Convert Regression Between Base Function and 'rms' Package

We perform linear, logistic, and cox regression using the base functions lm(), glm(), and coxph() in the R software and the 'survival' package. Likewise, we can use ols(), lrm() and cph() from the 'rms' package for the same functionality. Each of these two sets of commands has a different focus. In many cases, we need to use both sets of commands in the same situation, e.g. we need to filter the full subset model using AIC, and we need to build a visualization graph for the final model. 'base.rms' package can help you to switch between the two sets of commands easily.

Authors:Jing Zhang [aut, cre], Zhi Jin [aut]

base.rms_1.0.tar.gz
base.rms_1.0.tar.gz(r-4.5-noble)base.rms_1.0.tar.gz(r-4.4-noble)
base.rms_1.0.tgz(r-4.4-emscripten)base.rms_1.0.tgz(r-4.3-emscripten)
base.rms.pdf |base.rms.html✨
base.rms/json (API)

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

6 exports 0.00 score 110 dependencies 2 scripts 655 downloads

Last updated 4 years agofrom:4bf82e1d2b. Checks:ERROR: 2. Indexed: yes.

Exports:coxph2cphcph2coxphlm2olslogit2lrmlrm2logitols2lm

Dependencies:askpassbackportsbase64encbslibcachemcheckmateclicliprclustercodetoolscolorspacecpp11crayoncredentialscurldata.tabledescdigestdodplyrevaluatefansifarverfastmapfontawesomeforeignFormulafsgenericsgertggplot2ghgitcredsgluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetshttrhttr2iniisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmemoisemgcvmimemultcompmunsellmvtnormnlmennetopensslopenxlsxpillarpkgconfigplyrpolsplinepurrrquantregR6rappdirsRColorBrewerRcppreshape2rlangrmarkdownrmsrpartrprojrootrstudioapirvestsandwichsassscalesselectrSparseMstringistringrsurvivalsysTH.datatibbletidyrtidyselecttinytextmcnusethisutf8vctrsviridisviridisLitewhiskerwithrxfunxml2yamlzipzoo